Author: Niharika Singh

Niharika Singh
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Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.

Meet RLPrompt: A New Prompt Optimization Approach with Reinforcement Learning (RL)

AI Shorts
Prompting is a promising approach to solving NLP problems with pre-trained language models (LMs) such as GPTs and BERT. Unlike conventional fine-tuning that updates...

Tracking Odor Plumes With AI Agents Using A Deep Reinforcement Learning Model

AI Shorts
The extraordinary talents of animals have long served as a source of inspiration for scientists and engineers who have worked to reverse engineer or...

HuggingFace Publishes LoRA Scripts For Efficient Stable Diffusion Fine-Tuning

AI Shorts
Microsoft unveiled Low-Rank Adaptation (LoRA) in 2021 as a cutting-edge method for optimizing massive language models (LLMs). LoRA is an effective adaptation technique that...

MIT researchers have developed a new technique that can enable a machine learning model to quantify how confident it is in its predictions

AI Shorts
Robust machine learning models are helping humans solve complex issues like seeing cancer in medical photos or detecting barriers on the road for autonomous...

CMU Researchers Create An AI Model That Can Detect The Pose of Multiple Humans In A Room Using Only The Signals From WiFi

AI Paper Summary
Significant advancement in 2D and 3D human posture estimation using RGB cameras, LiDAR, and radars has been made possible by improvements in computer vision...

Hugging Face Transformers Gets Its First Text-to-Speech Model With The Addition of SpeechT5

AI Shorts
The world of AI has drastically transformed the day-to-day lives of humans. Features like voice recognition have made it relatively more straightforward to perform...

A New AI Research Addresses the Issue of News Suggestions Influencing Ideology: Reducing Cross-Topic Political Homogenization in Content-Based News Recommendations

AI Paper Summary
Today, with millions of news pieces from various sources, many news readers access news online. News recommender systems (NRS) suggest selected news articles that...

Stanford Researchers Developed a Machine Learning Model Called POPDx to Predict Rare Diseases, Including Diseases That Aren’t Present in The Training Data

AI Paper Summary
A rare disease affects a small proportion of the population. Most rare diseases are genetic and thus last throughout a human's life, even if...

This New Method Trains AI Models With Multi-Label Classification Data Using Adaptive Resonance Theory-Based Clustering

AI Paper Summary
With the recent developments of IoT technology, it has become relatively easy to obtain a large amount of data and use them for machine...

What is Synthetic Data, and What are Its Importance?

Editors Pick
Information that is produced artificially rather than by actual events is known as synthetic data. Synthetic data is used to test mathematical models and...

Researchers at Oxford University develop Deep Double Duelling Q-Learning for translating trading signals into SOTA trading strategies

AI Paper Summary
A standard method used by effective quantitative trading techniques is the generation of trade signals with a statistically significant association with future prices. The...
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